开发PREMIUM计算机化适应性测试,用于测量重度精神疾病患者的接入和护理协调
Laurent Boyer1, Sara Fernandes1, Yann Brousse1
1AP-HM, School of medicine - La Timone Medical Campus, UR3279: Health Service Research and Quality of Life Center (CEReSS), Aix-Marseille University, Marseille, France.
Psychiatry research
|September 7, 2023
概括
一个新的工具,PREMIUM CAT-ACC,有效地测量严重精神疾病 (SMI) 患者在获得医疗保健和护理协调方面的经验. 这种计算机化适应性测试 (CAT) 为评估患者需求提供了更短,更准确的方法.
科学领域:
- 精神病学和卫生服务研究研究 精神病学和卫生服务研究
- 医疗信息学 医疗信息学
- 患者报告的结果
背景情况:
- 患有严重精神疾病 (SMI) 的患者在获得和协调其复杂的医疗保健需求方面面临重大挑战.
- 评估患者获得护理和协调经验的现有方法可能是漫长或低效的.
研究的目的:
- 开发和验证PREMIUM CAT-ACC,这是一种计算机化适应性测试 (CAT) 工具,旨在测量SMI患者在医疗保健获取和护理协调方面的经验.
- 评估用于临床应用的CAT工具的心理测量特性和效率.
主要方法:
- 一项多中心,横截面研究,涉及496名被诊断患有SMI (精神分裂症,双相情感障碍,主要抑郁症) 的成年患者.
- 为CAT工具开发一个13项项目库.
- 心理测量分析包括对有效性和差异性项目功能 (DIF) 的评估.
- 后期CAT模拟以评估效率和准确性.
主要成果:
- 这13项项目银行表现出足够的心理测量特性,包括初步的外部有效性.
- 对于性别,年龄,护理环境或诊断,没有发现任何实质性的DIF,表明适合CAT给药.
- CAT模拟显示该工具是高效和准确的,与完整的银行相比,平均需要七个项目.
结论:
- PREMIUM CAT-ACC工具是一个在心理测量上可靠且有效的措施,用于评估SMI患者在访问和护理协调方面的经验.
- 这种CAT工具可以帮助临床医生优化患者护理途径,并推进以人为中心的医疗保健模式.
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